{"id":55584,"url":"https://github.com/Amin-Tgz/awesome-tensorflow-2","name":"awesome-tensorflow-2","description":"👉 Tensorflow 2.x resources such as tutorial, blog, code and videos","projects_count":173,"last_synced_at":"2026-10-15T08:00:27.204Z","repository":{"id":38206382,"uuid":"183990390","full_name":"Amin-Tgz/awesome-tensorflow-2","owner":"Amin-Tgz","description":"👉 Tensorflow 2.x resources such as tutorial, blog, code and videos","archived":false,"fork":false,"pushed_at":"2026-09-29T03:03:57.000Z","size":406,"stargazers_count":523,"open_issues_count":0,"forks_count":99,"subscribers_count":25,"default_branch":"master","last_synced_at":"2026-10-04T07:53:21.542Z","etag":null,"topics":["awesome","nlp","tensorflow","tensorflow-2","tensorflow-2-example","tensorflow2","tensorflow2-awesome","tensorflow2-experiments","tensorflow2-models","tf2","tf2-example","tf2-segmentation","tf2cnn","tf2gan","yolo"],"latest_commit_sha":null,"homepage":"https://www.tensorflow.org/","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc0-1.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Amin-Tgz.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"contributing.md","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2019-04-29T03:02:46.000Z","updated_at":"2026-09-29T03:04:01.000Z","dependencies_parsed_at":"2023-01-30T17:45:23.716Z","dependency_job_id":null,"html_url":"https://github.com/Amin-Tgz/awesome-tensorflow-2","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Amin-Tgz/awesome-tensorflow-2","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Amin-Tgz%2Fawesome-tensorflow-2","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Amin-Tgz%2Fawesome-tensorflow-2/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Amin-Tgz%2Fawesome-tensorflow-2/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Amin-Tgz%2Fawesome-tensorflow-2/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Amin-Tgz","download_url":"https://codeload.github.com/Amin-Tgz/awesome-tensorflow-2/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Amin-Tgz%2Fawesome-tensorflow-2/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":344836268,"owners_count":38329788,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-10-03T21:59:58.778Z","status":"online","status_checked_at":"2026-10-15T02:00:06.843Z","response_time":105,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"created_at":"2024-01-31T09:52:08.109Z","updated_at":"2026-10-15T08:00:27.205Z","primary_language":null,"list_of_lists":false,"displayable":true,"categories":["What are the advantages of TensorFlow v2 ? 👀","License","Official Site 🏢","Other \u003ca name=\"other\" /\u003e🌱","Videos  🎥 📺 📹      \u003ca name=\"videos\" /\u003e","Blog posts \u003ca name=\"blogs\" /\u003e📃","Tutorials \u003ca name=\"GitHub-tutorials\" /\u003e 📕 📘 📗 📓","Sample Codes / Projects \u003ca name=\"sample\" /\u003e ⛏️📐📁","Contributions 📭  \u003ca name=\"contributions\" /\u003e"],"sub_categories":["Books \u003ca name=\"books\" /\u003e📚","Course  \u003ca name=\"course\" /\u003e","DevSummit \u003ca name=\"DevSum\" /\u003e","Other   \u003ca name=\"Other_Video\" /\u003e","Reinforcement Learning \u003ca name=\"RL\" /\u003e🔮","TensorFlow World 2019 \u003ca name=\"TFW19\" /\u003e","Google I/O \u003ca name=\"GIO\" /\u003e","TensorFlow YouTube Channel \u003ca name=\"TYC\" /\u003e","Python wheels  \u003ca name=\"whls\" /\u003e🐍","Tools \u003ca name=\"tools\" /\u003e🔧","#PoweredByTF 2.0 Challenge\u003ca name=\"PWBYTF2\" /\u003e 🔫 💣 🏆","General 🚧 \u003ca name=\"GeneralCode\" /\u003e"],"readme":"# Awesome Tensorflow 2 💛 [![Awesome](https://awesome.re/badge.svg)](https://awesome.re)\nA curated list of awesome Tensorflow v2 tutorials, blogs, and projects.\n\n![alt text](imgs/logo-color-tensorflow.png)\n\n# 👉 Contents \u003ca name=\"TOC\" /\u003e👈\n\n\u003c!-- MarkdownTOC depth=4 --\u003e\n* [What are the advantages of TensorFlow v2 ?](#firstSection)\n* [Official Site](#official)\n* [Tutorials](#GitHub-tutorials)\n* [SampleCodes/Projects](#sample)\n    * [General](#GeneralCode)\n    * [Specific Model/Task (like GAN,RL,NLP,...)](#SpecificCode)\n        * [Reinforcement Learning](#RL)\n        * [GAN](#GAN_Code)\n        * [Diffusion](#Diffusion_Code)\n        * [NLP](#NLP_Code)\n        * [Object Detection](#OD)\n        * [Other](#Other_Code)\n* [Videos](#videos)\n    * [TensorFlow World 2019](#TFW19)\n    * [DevSummit 2019](#DevSum)\n    * [Google I/O 2019](#GIO)\n    * [TensorFlow YouTube Channel](#TYC)\n    * [Course](#course)\n    * [Other](#Other_Video)\n* [Blog posts](#blogs)\n* [Other](#other)\n   * [Python wheels](#whls)\n   * [Tools](#tools)\n   * [#PoweredByTF 2.0 Challenge](#PWBYTF2)\n   * [Books](#books)\n\n\u003c!-- /MarkdownTOC --\u003e\n\n\u003ca name=\"firstSection\" /\u003e\n\n## What are the advantages of TensorFlow v2 ? 👀\n* TensorFlow 2 focuses on simplicity and ease of use, with updates like eager execution, intuitive higher-level APIs, and flexible model   building on any platform\n* There are multiple changes in TensorFlow 2 to make TensorFlow users more productive. TensorFlow 2 removes redundant APIs, makes APIs more consistent (Unified RNNs, Unified Optimizers), and better integrates with the Python runtime with Eager execution.\n\nMore info [here](https://www.tensorflow.org/tutorials).\n\nTensorFlow 2.21 is now available! 🎉🎉🎉\n\n![alt text](imgs/TF.png)\n\nFor Tensrflow **version \u003c1.x\u003e** see this **[awesome collection](https://github.com/jtoy/awesome-tensorflow)** created by jtoy.\n\n\u003cimg src=\"imgs/downfinger.png\" alt=\"down\" width=\"250\" height=\"150\"\u003e\n\n\u003ca name=\"official\" /\u003e\n\n## Official Site 🏢\n* [TensorFlow](https://www.tensorflow.org/)\n* [Install](https://www.tensorflow.org/install/gpu) (check the official guide for the matching CUDA \u0026 cuDNN versions)\n* [Effective_tf2](https://www.tensorflow.org/guide/effective_tf2)\n* [Quick Start](https://www.tensorflow.org/tutorials/quickstart/beginner)\n* [Upgrade guid](https://www.tensorflow.org/guide/upgrade)\n* [Road map](https://www.tensorflow.org/community/roadmap)\n* [FAQ](https://github.com/tensorflow/community/blob/master/sigs/testing/faq.md)\n* [Blog](https://blog.tensorflow.org/)\n\n[\u003cimg src=\"imgs/up.png\" alt=\"down\" width=\"30\" height=\"30\"\u003e  **Back to Top**](#TOC)\n\n## Tutorials \u003ca name=\"GitHub-tutorials\" /\u003e 📕 📘 📗 📓\n\n* [TensorFlow Tutorial](https://github.com/aymericdamien/TensorFlow-Examples/tree/master/tensorflow_v2) \u003cimg src=\"imgs/5.png\" alt=\"down\" width=\"50\" height=\"17\"\u003e\n* [Official tutorial](https://github.com/tensorflow/docs/tree/master/site/en/tutorials) \u003cimg src=\"imgs/5.png\" alt=\"down\" width=\"50\" height=\"17\"\u003e\n* [Deep Learning with TensorFlow 2 and Keras course](https://github.com/ageron/tf2_course) \u003cimg src=\"imgs/5.png\" alt=\"down\" width=\"50\" height=\"17\"\u003e\n* [TensorFlow-2.x-Tutorials](https://github.com/dragen1860/TensorFlow-2.x-Tutorials) \u003cimg src=\"imgs/5.png\" alt=\"down\" width=\"50\" height=\"17\"\u003e\n* [Tensorflow2_tutorials_chinese](https://github.com/czy36mengfei/tensorflow2_tutorials_chinese) \u003cimg src=\"imgs/3.png\" alt=\"down\" width=\"50\" height=\"15\"\u003e\n* [Tensorflow2.0 tutorial from basic to hard](https://github.com/YunYang1994/TensorFlow2.0-Examples) \u003cimg src=\"imgs/3.png\" alt=\"down\" width=\"50\" height=\"15\"\u003e\n* [TensorFlow2.0_Eager_Execution_Tutorials](https://github.com/hellocybernetics/TensorFlow2.0_Eager_Execution_Tutorials) \u003cimg src=\"imgs/4.png\" alt=\"down\" width=\"50\" height=\"17\"\u003e\n* [Tensorflow 2.0 and Keras: what's new, what's shared, what's different](https://github.com/zerotodeeplearning/tf2_keras) \u003cimg src=\"imgs/3.png\" alt=\"down\" width=\"50\" height=\"17\"\u003e\n* [Practical Exercises in Tensorflow 2.0 for Ian Goodfellows Deep Learning Book](https://github.com/astrumai/DeepLearningWithTF2.0) \u003cimg src=\"imgs/5.png\" alt=\"down\" width=\"50\" height=\"17\"\u003e\n* [Deep Learning Crash Course-(S9)](https://github.com/isikdogan/deep_learning_tutorials) \u003cimg src=\"imgs/4.png\" alt=\"down\" width=\"50\" height=\"17\"\u003e\n* [Hands-On Machine Learning with Scikit-Learn, Keras and TensorFlow - 3rd Edition Notebooks](https://github.com/ageron/handson-ml3)\n* [Deep Learning TensorFlow2 Examples](https://github.com/solidglue/Deep_Learning_TensorFlow2_Examples)\n\n[\u003cimg src=\"imgs/up.png\" alt=\"down\" width=\"30\" height=\"30\"\u003e  **Back to Top**](#TOC)\n\n## Sample Codes / Projects \u003ca name=\"sample\" /\u003e ⛏️📐📁\n\n   ### General 🚧 \u003ca name=\"GeneralCode\" /\u003e\n\n   * [Tensorflow-2.0 Quick Start Guide](https://github.com/PacktPublishing/Tensorflow-2.0-Quick-Start-Guide)\n   * [Make Money with Tensorflow 2.0](https://github.com/llSourcell/Make_Money_with_Tensorflow_2.0)\n   * [Practical intro to tf2](https://github.com/himanshurawlani/practical_intro_to_tf2)\n   * [Tensorflow2.0 examples](https://github.com/thibo73800/tensorflow2.0-examples)\n   * [Deep Learning with TensorFlow 2.X (\u0026 Keras)](https://github.com/yusugomori/deeplearning-tf2)\n   * [TensorFlow 2 Machine Learning Cookbook, published by Packt](https://github.com/PacktPublishing/TensorFlow-2-Machine-Learning-Cookbook)\n   * [Hands On Computer Vision with TensorFlow 2](https://github.com/PacktPublishing/Hands-On-Computer-Vision-with-TensorFlow-2)\n   * [Implementing-Deep-Learning-Algorithms-with-TensorFlow-2.0(PacktPub)](https://github.com/PacktPublishing/Implementing-Deep-Learning-Algorithms-with-TensorFlow-2.0)\n   * [Discovering hidden factors of variation in deep networks](https://github.com/Warvito/discovering-hidden-factors-of-variation-in-deep-networks)\n   * [Tutorial to run TensorFlow 2 on mobile devices: Android, iOS and Browser](https://github.com/EliotAndres/tensorflow-2-run-on-mobile-devices-ios-android-browser)\n   * [Tensorflow2.x Examples from basic to hard](https://github.com/YunYang1994/TensorFlow2.0-Examples)\n   * [Deep-Learning-with-TensorFlow-2.0-in-7-Steps-[Packt]](https://github.com/PacktPublishing/Deep-Learning-with-TensorFlow-2.0-in-7-Steps)\n   * [Getting-Started-with-TensorFlow-2.0-for-Deep-Learning-Video-[Packt]](https://github.com/PacktPublishing/Getting-Started-with-TensorFlow-2.0-for-Deep-Learning-Video)\n   * [TensorFlow 2.0: A Complete Guide on the Brand New TensorFlow - Udemy Course](https://github.com/sergejhorvat/Tensorflow2.0_Udemy)\n   * [Interpretability Methods for tf.keras models with Tensorflow 2.0](https://github.com/sicara/tf-explain)\n   * [AiSpace: Better practices for deep learning model development and deployment For Tensorflow 2.0](https://github.com/yingyuankai/AiSpace)\n   * [Multi-Similarity Loss Re-Implementation in Tensorflow 2.x](https://github.com/shun-lin/multi-similarity-loss-tensorflow)\n   * [Deep Learning with TensorFlow 2 and Keras - 2nd Edition PacktPub](https://github.com/PacktPublishing/Deep-Learning-with-TensorFlow-2-and-Keras)\n   * [Graph Neural Networks in TF2 (TensorFlow 2 library implementing Graph Neural Networks by Microsoft)](https://github.com/microsoft/tf2-gnn)\n   * [Sarus TF2 Models](https://github.com/sarus-tech/tf2-published-models) - A long list of recent generative models implemented in clean, easy to reuse, Tensorflow 2 code (Plain Autoencoder, VAE, VQ-VAE, PixelCNN, Gated PixelCNN, PixelCNN++, PixelSNAIL, Conditional Neural Processes).\n   * [TensorFlow 2 in Action by Manning - Code Repository](https://github.com/thushv89/manning_tf2_in_action) - Exercises of all the chapters in TensorFlow 2 in Action by Manning\n   * [Activeloop HUB](https://github.com/activeloopai/deeplake) - The fastest way to store, access \u0026 manage datasets with version-control for PyTorch/TensorFlow. Works locally or on any cloud. Scalable data pipelines.\n   * [create-tf-app](https://github.com/radi-cho/create-tf-app) - Project builder command line tool for Tensorflow covering environment management, linting, and logging.\n\n   ### Specific Model/Task (like GAN,RL,NLP,...) \u003ca name=\"SpecificCode\" /\u003e\n\n   ### Reinforcement Learning \u003ca name=\"RL\" /\u003e🔮\n   * [Play Super Mario Games using Reinforcement Learning with TensorFlow 2.0](https://github.com/james94/Super-Mario-Reinforcement-Learning)\n   * [TensorFlow2.0 Reinforcement Learning Library!(TF2RL)](https://github.com/keiohta/tf2rl)\n   * [Scalable and Efficient Deep-RL](https://github.com/google-research/seed_rl)\n   * [Deep Reinforcement Learning with TensorFlow 2.0](https://github.com/inoryy/tensorflow2-deep-reinforcement-learning)\n   * [Implemented Policy Gradient in Tensorflow2.0](https://github.com/wsonv/PolicyGradient_in_tensorflow2.0)\n   * [TF2 PPO Atari](https://github.com/UesugiErii/tf2-PPO-atari)\n\n   #### GAN \u003ca name=\"GAN_Code\" /\u003e🌄\n   * [Generative models in Tensorflow 2](https://github.com/timsainb/tensorflow2-generative-models/)\n   * [CycleGAN-Tensorflow-2](https://github.com/LynnHo/CycleGAN-Tensorflow-2)\n   * [CartoonGAN](https://github.com/mnicnc404/CartoonGan-tensorflow)\n   * [GANs - Tensorflow 2](https://github.com/LynnHo/DCGAN-LSGAN-WGAN-GP-DRAGAN-Tensorflow-2)\n   * [Fast-SRGAN (Single Image Super Resolution GAN)](https://github.com/HasnainRaz/Fast-SRGAN)\n   * [Enhanced Super-Resolution Generative Adversarial Networks](https://github.com/peteryuX/esrgan-tf2)\n\n*\n    #### Diffusion \u003ca name=\"Diffusion_Code\" /\u003e🌫️\n    * [Stable Diffusion in TensorFlow / Keras](https://github.com/divamgupta/stable-diffusion-tensorflow)\n    * [Clear Diffusion Keras](https://github.com/beresandras/clear-diffusion-keras)\n    * [Fine-tuning Stable Diffusion using Keras](https://github.com/sayakpaul/stable-diffusion-keras-ft)\n\n   #### NLP \u003ca name=\"NLP_Code\" /\u003e🌈\n   * [Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch](https://github.com/huggingface/transformers)\n   * [Tensorflow 2 implementation of Causal-BERT](https://github.com/vveitch/causal-text-embeddings-tf2)\n    * [Effective Approaches to Attention-based Neural Machine Translation](https://github.com/thisisiron/nmt-attention-tf2)\n   * [BERT in TensorFlow 2](https://github.com/tensorflow/models/tree/master/official/nlp/bert)\n    * [A Keras TensorFlow 2.0 implementation of BERT, ALBERT and adapter-BERT](https://github.com/kpe/bert-for-tf2)\n    * [KerasHub: Pretrained Models for Keras 3](https://github.com/keras-team/keras-hub)\n\n   #### Object Detection \u003ca name=\"OD\" /\u003e🔥\n   * [MobileNet_V3](https://github.com/calmiLovesAI/MobileNetV3_TensorFlow2)\n   * [YOLO v3](https://github.com/zzh8829/yolov3-tf2)\n   * [Tensorflow Object Detection with Tensorflow 2.0](https://github.com/TannerGilbert/Tensorflow-Object-Detection-with-Tensorflow-2.0)\n   * [Yolo v4 using TensorFlow 2.x](https://github.com/RobotEdh/Yolov-4)\n   * [YOLO v3 TensorFlow Lite iOS GPU acceleration](https://github.com/JeiKeiLim/tflite-yolov3-gpu-ready)\n    * [A simple tf.keras implementation of YOLO v4](https://github.com/taipingeric/yolo-v4-tf.keras)\n    * [YOLOv8 in the Browser with TensorFlow.js](https://github.com/Hyuto/yolov8-tfjs)\n    * [YOLOv8, YOLOv9, YOLOv10, YOLOv11 on Mobile Devices](https://github.com/surendramaran/YOLO)\n    * [Official Ultralytics YOLO Flutter App](https://github.com/ultralytics/yolo-flutter-app)\n   \n   \n   \n   #### Other \u003ca name=\"Other_Code\" /\u003e🚦\n   * [A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet). ](https://github.com/calmiLovesAI/Basic_CNNs_TensorFlow2) \u003c==\n   * [fast and scalable design of risk parity portfolios with TensorFlow 2.0](https://github.com/convexfi/riskparity.py)\n   * [Tensorflow 2.0 Realtime Multi-Person Pose Estimation](https://github.com/michalfaber/tensorflow_Realtime_Multi-Person_Pose_Estimation)\n   * [Train ResNet on ImageNet in Tensorflow 2.0](https://github.com/Apm5/ImageNet_ResNet_Tensorflow2.0)\n   * [CBAM(Convolutional Block Attention Module) implementation on TensowFlow2.0](https://github.com/zhangkaifang/CBAM-TensorFlow2.0)\n   * [ArcFace: Additive Angular Margin Loss for Deep Face Recognition](https://github.com/peteryuX/arcface-tf2)\n   * [Pointnet++ modules implemented as tensorflow 2 keras layers](https://github.com/dgriffiths3/pointnet2-tensorflow2)\n   * [Edward2 =\u003e A lightweight probabilistic programming language in NumPy or TensorFlow](https://github.com/google/edward2)\n   * [Attention OCR in Tensorflow 2.0](https://github.com/alleveenstra/attentionocr)\n   * [An implementation of HTR(Handwritten Text Recognition) using TensorFlow 2.0](https://github.com/arthurflor23/handwritten-text-recognition)\n   * [Some state-of-the-art Few Shot Learning algorithms in Tensorflow 2](https://github.com/ClementWalter/Keras-FewShotLearning)\n   * [Tensorflow2 question-answering (Kaggle)](https://www.kaggle.com/c/tensorflow2-question-answering/notebooks)\n   * [Tensorflow 2.0 example](https://github.com/Apm5/tensorflow_2.0_example)\n    * [Single pose estimation for iOS and android using TensorFlow 2.0](https://github.com/tucan9389/tf2-mobile-2d-single-pose-estimation)\n   * [Music transformer](https://github.com/jason9693/MusicTransformer-tensorflow2.0)\n   * [Handwritten Text Recognition (HTR) system implemented using TensorFlow 2.0](https://github.com/arthurflor23/handwritten-text-recognition)\n   * [Meta learning framework with Tensorflow 2.0](https://github.com/siavash-khodadadeh/MetaLearning-TF2.0)\n   * [Simple Template for Tensorflow 2.X](https://github.com/SCP-173-cool/TF2_template)\n   * [Shortest_triplet_network_with_TF2.0](https://github.com/FraLupo/shortest_triplet_network_with_tf2.0)\n   * [Arbitrary Style Transfer in Real-time](https://github.com/gs18113/AdaIN-TensorFlow2)\n   * [RetinaFace: Single-stage Dense Face Localisation in the Wild](https://github.com/peteryuX/retinaface-tf2)\n   * [PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search](https://github.com/peteryuX/pcdarts-tf2)\n   * [An implementation of model-predictive control algorithms using TensorFlow 2](https://github.com/thiagopbueno/tf-mpc)\n    * [TensorflowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2](https://github.com/TensorSpeech/TensorflowTTS)\n    * [Offline Speech Recognition with Whisper and TensorFlow Lite for Android](https://github.com/vilassn/whisper_android)\n    * [Optimized Whisper TFLite Port for Edge Devices](https://github.com/nyadla-sys/whisper.tflite)\n    * [Self-Hosted Realtime Bird and Wildlife Soundscape Analyser](https://github.com/tphakala/birdnet-go)\n    * [Temporal Kolmogorov-Arnold Networks in TensorFlow 2 / Keras 3](https://github.com/remigenet/TKAN)\n\n[\u003cimg src=\"imgs/up.png\" alt=\"down\" width=\"30\" height=\"30\"\u003e  **Back to Top**](#TOC)\n\n## Videos  🎥 📺 📹      \u003ca name=\"videos\" /\u003e\n### TensorFlow World 2019 \u003ca name=\"TFW19\" /\u003e\n   * [PlayList](https://www.youtube.com/playlist?list=PLQY2H8rRoyvxcmHHRftsuiO1GyinVAwUg)\n   * [Introduction to TensorFlow 2.0: Easier for beginners, and more powerful for experts](https://www.youtube.com/watch?v=5ECD8J3dvDQ\u0026list=PLQY2H8rRoyvxcmHHRftsuiO1GyinVAwUg\u0026index=4\u0026t=0s)\n\n### DevSummit \u003ca name=\"DevSum\" /\u003e\n   * [PlayList 2019](https://www.youtube.com/playlist?list=PLQY2H8rRoyvzoUYI26kHmKSJBedn3SQuB)\n   * [**Introducing TensorFlow 2.0 and its high-level APIs (TF Dev Summit '19)**](https://www.youtube.com/watch?v=k5c-vg4rjBw)\n   * [PlayList 2020](https://www.youtube.com/playlist?list=PLQY2H8rRoyvzuJw20FG82Lgm2SZjTdIXU)\n   \n### Google I/O \u003ca name=\"GIO\" /\u003e\n   * [PlayList](https://www.youtube.com/playlist?list=PLOU2XLYxmsILVTiOlMJdo7RQS55jYhsMi)\n   * [**Getting Started with TensorFlow 2.0 (Google I/O'19)**](https://www.youtube.com/watch?reload=9\u0026v=lEljKc9ZtU8)\n\n### TensorFlow YouTube Channel \u003ca name=\"TYC\" /\u003e\n   * [Channel](https://www.youtube.com/channel/UC0rqucBdTuFTjJiefW5t-IQ)\n   * [Coding TensorFlow](https://www.youtube.com/playlist?list=PLQY2H8rRoyvwLbzbnKJ59NkZvQAW9wLbx)\n   * [#AskTensorFlow](https://www.youtube.com/playlist?list=PLQY2H8rRoyvypL1nu_65Uhf5LuWlZdmSL)\n   * [TensorFlow Meets](https://www.youtube.com/playlist?list=PLQY2H8rRoyvyOeER8UNF-1zXaCKGLZVog)\n   * [Machine Learning Foundations](https://www.youtube.com/playlist?list=PLOU2XLYxmsII9mzQ-Xxug4l2o04JBrkLV)\n   * [Powered by TensorFlow](https://www.youtube.com/playlist?list=PLQY2H8rRoyvyLQDomfBj-ptdBGTxAHwV_)\n   * [Natural Language Processing](https://www.youtube.com/watch?v=fNxaJsNG3-s\u0026list=PLQY2H8rRoyvzDbLUZkbudP-MFQZwNmU4S)\n   * [Inside TensorFlow](https://www.youtube.com/playlist?list=PLQY2H8rRoyvzIuB8rZXs7pfyjiSUs8Vza)\n   \n### Course  \u003ca name=\"course\" /\u003e\n   * [TensorFlow 2.0 Full Tutorial - Python Neural Networks for Beginners](https://www.youtube.com/watch?v=6g4O5UOH304)\n   * [Learning TensorFlow 2.0 (Udemy)](https://www.udemy.com/learning-tensorflow-20/)\n   * [TensorFlow in Practice Specialization](https://www.coursera.org/specializations/tensorflow-in-practice)\n\n### Other   \u003ca name=\"Other_Video\" /\u003e\n   * [GTC Silicon Valley-2019 ID:S9495:An Introduction to TensorFlow 2.0](https://developer.nvidia.com/gtc/2019/video/S9495)\n   * [Make Money withTensorflow 2.0](https://www.youtube.com/watch?v=WS9Nckd2kq0)\n\n [\u003cimg src=\"imgs/up.png\" alt=\"down\" width=\"30\" height=\"30\"\u003e  **Back to Top**](#TOC)\n\n## Blog posts \u003ca name=\"blogs\" /\u003e📃\n* [Tensorflow-2-models-migration-and-new-design](https://pgaleone.eu/tensorflow/gan/2018/11/04/tensorflow-2-models-migration-and-new-design/)\n* [Standardizing on Keras: Guidance on High-level APIs in TensorFlow 2.0](https://medium.com/tensorflow/standardizing-on-keras-guidance-on-high-level-apis-in-tensorflow-2-0-bad2b04c819a)\n* [Test Drive TensorFlow 2.0 Alpha](https://medium.com/tensorflow/test-drive-tensorflow-2-0-alpha-b6dd1e522b01)\n* [Recap of the 2019 TensorFlow Dev Summit](https://medium.com/tensorflow/recap-of-the-2019-tensorflow-dev-summit-1b5ede42da8d)\n* [Upgrading your code to TensorFlow 2.0](https://medium.com/tensorflow/upgrading-your-code-to-tensorflow-2-0-f72c3a4d83b5)\n* [Effective TensorFlow 2.0: Best Practices and What’s Changed](https://medium.com/tensorflow/effective-tensorflow-2-0-best-practices-and-whats-changed-a0ca48767aff)\n* [What are Symbolic and Imperative APIs in TensorFlow 2.0?](https://medium.com/tensorflow/what-are-symbolic-and-imperative-apis-in-tensorflow-2-0-dfccecb01021)\n* [What’s coming in TensorFlow 2.0](https://medium.com/tensorflow/whats-coming-in-tensorflow-2-0-d3663832e9b8)\n* [My Notes on TensorFlow 2.0](https://medium.com/tensorflow/testing-for-tensorflow-2-0-2db0d17c37f0)\n* [Create The Transformer With Tensorflow 2.0](https://machinetalk.org/2019/04/29/create-the-transformer-with-tensorflow-2-0/)\n* [Fast-SCNN explained and implemented using Tensorflow 2.0](https://medium.com/deep-learning-journals/fast-scnn-explained-and-implemented-using-tensorflow-2-0-6bd17c17a49e)\n* [Image Classification with high-level API of Tensorflow 2.0](https://hackernoon.com/image-classification-with-tensorflow-2-0-d5a98bcffce1)\n* [A Transformer Chatbot Tutorial with TensorFlow 2.0](https://medium.com/tensorflow/a-transformer-chatbot-tutorial-with-tensorflow-2-0-88bf59e66fe2)\n* [Easy Image Classification with TensorFlow 2.0](https://towardsdatascience.com/easy-image-classification-with-tensorflow-2-0-f734fee52d13)\n* [Implementing an Autoencoder in TensorFlow 2.0](https://medium.com/@abien.agarap/implementing-an-autoencoder-in-tensorflow-2-0-5e86126e9f7)\n* [How to build a wide-and-deep model using Keras in TensorFlow](https://towardsdatascience.com/how-to-build-a-wide-and-deep-model-using-keras-in-tensorflow-2-0-2f7a236b5a4b)\n* [Heart Disease Prediction in TensorFlow 2](https://medium.com/@curiousily/heart-disease-prediction-in-tensorflow-2-tensorflow-for-hackers-part-ii-378eef0400ee)\n* [Generating Text with TensorFlow 2.0](https://towardsdatascience.com/generating-text-with-tensorflow-2-0-6a65c7bdc568)\n* [Ten Important Updates from TensorFlow 2.0](https://www.datacamp.com/community/tutorials/ten-important-updates-tensorflow)\n* [TensorFlow 2.0 Global Docs Sprint Cheatsheet](https://medium.com/tensorflow/https-medium-com-margaretmz-tf-docs-sprint-cheatsheet-7cb1dfd3e8b5)\n* [Announcing the winners of the #PoweredByTF 2.0 Dev Post Challenge](https://medium.com/tensorflow/announcing-the-winners-of-the-poweredbytf-2-0-dev-post-challenge-af39d9d5a208)\n* [Analyzing tf.function to discover AutoGraph strengths and subtleties](https://pgaleone.eu/tensorflow/tf.function/2019/03/21/dissecting-tf-function-part-1/)\n* [Information Theory with Tensorflow 2.0](https://dev.to/mmithrakumar/information-theory-with-tensorflow-2-0-29ao)\n* [Portable Computer Vision: TensorFlow 2.0 on a Raspberry Pi](https://towardsdatascience.com/portable-computer-vision-tensorflow-2-0-on-a-raspberry-pi-part-1-of-2-84e318798ce9)\n* [From Tensorflow 1.0 to PyTorch \u0026 back to Tensorflow 2.0](https://towardsdatascience.com/from-tensorflow-1-0-to-pytorch-back-to-tensorflow-2-0-f2f8a4c716b7)\n* [Hugging Face: State-of-the-Art Natural Language Processing in ten lines of TensorFlow 2.0](https://medium.com/tensorflow/using-tensorflow-2-for-state-of-the-art-natural-language-processing-102445cda54a)\n-----------------------------------------------------------------------------------------------------------------------\n* [TensorFlow 2.0 Alpha : Let seek the New in the Old](https://cv-tricks.com/tensorflow-tutorial/tensorflow-2-0-alpha/)\n* [Announcing TensorFlow 2.0 Beta](https://www.datacamp.com/community/tutorials/ten-important-updates-tensorflow)\n* [TensorFlow 2.0 is now available!](https://medium.com/tensorflow/tensorflow-2-0-is-now-available-57d706c2a9ab)\n\n\n[\u003cimg src=\"imgs/up.png\" alt=\"down\" width=\"30\" height=\"30\"\u003e  **Back to Top**](#TOC)\n\n## Other \u003ca name=\"other\" /\u003e🌱\n### Python wheels  \u003ca name=\"whls\" /\u003e🐍\n* [Tensorflow 2.1.0 Linux GPU (Compute 7.0, 7.2, 7.5), Python 3.8, CUDA 10.2, cuDNN 7.6, AVX2, MKL, TensorRT 6](https://github.com/yaroslavvb/tensorflow-community-wheels/issues/140)\n* [TensorFlow 2.0.0, Python 3.7, Docker Image, no AVX / Nehalem-CPU-Instructionset | Linux x86_64](https://github.com/yaroslavvb/tensorflow-community-wheels/issues/125)\n* [Tensorflow v2.0.0, Python 3.7, CUDA 10.0, cuDNN 7.6.4, without AVX, Windows 10 x64](https://github.com/yaroslavvb/tensorflow-community-wheels/issues/127)\n* [TensorFlow 2.0, GPU (Compute Compatible 6.1,7.5) , CUDA 10.1, cuDNN 7.6, AVX, Python 3.6, MKL, XLA, CPU i3-8100, Ubuntu 18.04](https://github.com/yaroslavvb/tensorflow-community-wheels/issues/129)\n\n### Tools \u003ca name=\"tools\" /\u003e🔧\n* [TensorFlow 2.0 upgrader service](https://github.com/lc0/tf2up)\n* [Tensorflow Hub](https://tfhub.dev/s?q=tf2)\n* [Guild AI](https://guild.ai)\n* [Nobuco: PyTorch to Keras/TensorFlow/TFLite Conversion](https://github.com/AlexanderLutsenko/nobuco)\n* [High-Performance TensorFlow Lite for React Native](https://github.com/margelo/react-native-fast-tflite)\n* [TensorFlow Lite Plugin for Flutter](https://github.com/tensorflow/flutter-tflite)\n* [SwanLab: AI Training Tracking with Keras Support](https://github.com/SwanHubX/SwanLab)\n* [KitOps: Packaging and Versioning for AI/ML Projects](https://github.com/kitops-ml/kitops)\n\n### #PoweredByTF 2.0 Challenge\u003ca name=\"PWBYTF2\" /\u003e 🔫 💣 🏆\n\n* [HomePage](https://tensorflow.devpost.com/)\n* [Submissions](https://tensorflow.devpost.com/submissions)\n\n### Books \u003ca name=\"books\" /\u003e📚\n\n* [TensorFlow 2.0 Quick Start Guide](https://www.packtpub.com/big-data-and-business-intelligence/tensorflow-20-quick-start-guide)\n* [Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition](https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/)\n* [TensorFlow Machine Learning Cookbook - Second Edition](https://medium.com/tensorflow/announcing-tensorflow-2-0-beta-abb24bbfbe3d)\n* [Tensorflow 2 in Action](https://www.manning.com/books/tensorflow-in-action)\n* [Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition - Code Companion](https://github.com/ageron/handson-ml3)\n\n[\u003cimg src=\"imgs/up.png\" alt=\"down\" width=\"30\" height=\"30\"\u003e  **Back to Top**](#TOC)\n\n## Contributions 📭  \u003ca name=\"contributions\" /\u003e\n\nYour contributions are always welcome!\n\nIf you want to contribute to this list (please do), send me a pull request\nAlso, if you notice that any of the above listed repositories should be deprecated, due to any of the following reasons:\n\n* Repository's owner explicitly say that \"this library is not maintained\".\n* Not committed for long time (2~3 years).\n\nMore info on the [guidelines](https://github.com/Amin-Tgz/Awesome-TensorFlow-2/blob/master/contributing.md)\n\n## License\nLicensed under the [Creative Commons CC0 License](https://creativecommons.org/publicdomain/zero/1.0/).\n","projects_url":"https://awesome.ecosyste.ms/api/v1/lists/amin-tgz%2Fawesome-tensorflow-2/projects"}